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examples/models/qwen2_5/convert_weights.py

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@@ -68,7 +68,6 @@ def main():
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# Don't necessarily need to use TorchTune checkpointer, can just aggregate checkpoint files by ourselves.
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checkpointer = FullModelHFCheckpointer(
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# checkpoint_dir="/home/jackzhxng/.cache/huggingface/hub/models--Qwen--Qwen2.5-1.5B/snapshots/8faed761d45a263340a0528343f099c05c9a4323/",
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checkpoint_dir=args.input_dir,
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checkpoint_files=["model.safetensors"],
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output_dir=".",
@@ -80,7 +79,6 @@ def main():
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print("Converting checkpoint...")
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sd = qwen_2_tune_to_meta(sd["model"])
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# torch.save(sd, "/home/jackzhxng/models/qwen2_5-1_5b.pth")
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torch.save(sd, args.output)
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print(f"Checkpoint saved to {args.output}")

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